Development of NFC and IoT-enabled measurement devices for improving health care delivery of Indonesian children

Abstract

In this research, a prototype of NFC and IoT-enabled medical measurement device aimed for infants between 0-5 years old is designed. The device is aimed to record data and transmit them to NFC tags on a greater system containing electronic medical record of Indonesian children, which is normally recorded in a paper card named Kartu Menuju Sehat (KMS). The device can measure five parameters: height, weight, temperature, heart rate, and blood oxygen (SpO2). The result is passed to a sensor fusion system to determine health status of the child, after which the data is transmitted to mobile KMS application owned by child’s guardian and health personnel. The system is tested on 12 infants of 12 months and below in two Indonesia’s community health centre Posyandu units. Based on the result, the system is able to measure five parameters at once and transmit it to the health personnel and child’s guardian, making it feasible to develop the prototype further into a fully functional medical device for use with electronic KMS.

IoT-Based Applications in Healthcare Devices

“…Further, necessary measures can be taken with the help of doctors and parents in case of an emergency. In a similar study [ 65 ], an IoT-based medical network was developed that connects a medical device with a mobile app. The system collects five different body parameters: height, temperature, SpO 2 , weight, and heart rate.…”

A User-centered Design Approach to Near Field Communication-based Applications for Children

“…In 2020, Sutjiredjeki et al presented a medical measurement application with the support of NFC technology and the IoT (Internet of Things) [16]. The application measures five health parameters, which are height, weight, body temperature, blood oxygen (SpO2), and heart rate.…”

Health Card for Teenager Based on Near Field Communication and IoT using Sensor Fusion Method

“…A tool has been developed to measure multiple health parameters utilizing NFC and IoT. This tool can produce nutritional and infant health classifications with sensor fusion [10].…”